EmbeddingGemma - 300M
EmbeddingGemma - 300M is an AI model published by Google Deep Mind, released on 2025-09-05, for Embedding model, with 3.0B parameters, and 2K tokens context length, requiring about 1.21GB storage, under the Gemma Terms of Use license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
EmbeddingGemma - 300M currently shows benchmark results led by MTEB (5 / 5, score 61.15). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
EmbeddingGemma - 300M is an AI model published by Google Deep Mind, released on 2025-09-05, for Embedding model, with 3.0B parameters, and 2K tokens context length, requiring about 1.21GB storage, under the Gemma Terms of Use license.
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